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OpenCourseWorld

Learn to Analyze Educational Data and Improve your Blended and Online Teaching

External course
Mar 01, 2021 09:00 AM
Course starts
May 01, 2021 11:00 PM
Course ends
Basic
Level

This external course is available on the Learn2Analyze MOOC platform.

This Massive Open Online Course (MOOC) aims to support the development of both core and advanced competences for Educational Data Analytics of Online and Blended teaching and learning.

Start date: 1 March 2021
End date: 1 May 2021
Estimated effort to complete: 100 hours

Registration: Click here to access the Learn2Analyze MOOC platform and enroll to the course

The course is open for nine (9) weeks and consists of eight (8) modules including six (6) core modules, one orientation and one concluding module. The expected effort from your side to complete the basic requirements for the Certificate of Achievement is approximately one hundred (100) hours in total.

The MOOC and the certificate of achievement are offered for free!

Scope

The course targets:

  • e-learning professionals (such as instructional designers and e-tutors) of online and blended courses; 
  • school leaders and teachers engaged in blended (using the flipped classroom model) and online (during the COVID19 crisis and beyond) teaching and learning;
  • higher education students (undergraduates & postgraduates).


The course combines:

    • theoretical knowledge on core issues related to collecting, analysing, interpreting and using educational data, including ethics and privacy, with
    • practical experience of applying educational data analytics in three different e-learning platforms, namely, Moodle, the eXact Suite and the IMC Learning Suite.


    No previous knowledge related to Educational Data Analytics is needed.

    Learning outcomes

    By completing this course you will:

      • know where to locate useful educational data in different data sources and understand their limitations;
      • know the basics for managing educational data to make them useful, understand relevant methods and be able to use relevant tools;
      • know the basics for organising, analysing, interpreting and presenting learner-generated data within their learning context, understand relevant learning analytics methods and be able to use relevant learning analytics tools;
      • know the basics for analysing and interpreting educational data to facilitate educational decision making, including course and curricula design, understand relevant teaching analytics methods and be able to use relevant teaching analytics tools;
      • understand issues related with educational data ethics and privacy.


      The learning outcomes of this course cover the set of competences anticipated by the Learn2Analyze Educational Data Literacy competence framework (L2A-EDL-CP).

      Course Syllabus

      Module 1 – Orientation
      This module offers the opportunity to become familiar with the MOOC platform, the course structure and the course policies.

      Module 2 – Educational Data
      This module will introduce the concept of educational data as a key success factor for online and blended teaching and learning, present the Learn2Analyze framework for educational data literacy competences and discuss the fundamentals of educational data collection and management, including issues related with ethics and privacy.

      Module 3 – Learning Analytics
      This module will introduce the basics of methods and tools for analysing and interpreting online learners' data to facilitate their personalised support. It will focus on organising, analysing, presenting and interpreting learner-generated data within their learning context, as well as on ethical concerns and policies for protecting learner-generated data from mistreatment and misuse.

      Module 4 – Teaching Analytics
      This module will introduce the basics of methods and tools for analysing and interpreting educational data for facilitating educational decision making, including course and curricula design.

      Module 5 – Educational Data Analytics with Moodle
      This module will present tools for educational data analytics in Moodle and focus on the use of these tools to support school teachers in the design and delivery of their online and blended learning courses.

      Module 6 – Educational Data Analytics with eXact Suite
      This module will present tools for educational data analytics in the eXact Suite and focus on the use of these tools to help instructional designers and e-tutors of online courses in supporting online learners.


      Module 7 – Educational Data Analytics with IMC Learning Suite
      This module will present tools for educational data analytics in the IMC Learning Suite. The focus is on how the tools can support instructional designers of online courses in reflecting on their educational design and re-design the courses. The module also shows how the tools can help e-tutors to support online learners.

      Module 8 – Concluding the MOOC / Final Assessment
      This concluding module together with the Final Assessment will allow participants to finalise their assignments, discuss their overall MOOC learning experience with their peers, and reflect on their learning experience by submitting the course feedback survey.

      Certification

      If you successfully complete this course you will receive a Certificate of Achievement (Level A or Level B or both). The Certificate is free of charge.

      Level A Certificate
      Level A requires developing a basic set of competences for EDL. You must gain a mark of 60% or greater overall to the corresponding set of level A 100 multiple choice quiz questions.

      Level B Certificate
      Level B requires demonstration of a higher expertise, for which there is a final concluding assessment, where you are requested to undertake complex tasks, by going through several steps (e.g. by following a use case) and answer Multiple-Choice Questions (MCQs). You must gain a mark of 60% or greater overall to the corresponding set of 100 level B multiple choice quiz questions.

      Funding


      The MOOC has been developed by an international Academia-Industry consortium within the action Learn2Analyze — An Academia-Industry Knowledge Alliance for enhancing Online Training Professionals’ (Instructional Designers and e-Trainers) Competences in Educational Data Analytics which is co-funded by the European Commission through the Erasmus+ Program of the European Union (Cooperation for innovation and the exchange of good practices - Knowledge Alliances, Agreement n. 2017-2733 / 001-001, Project No 588067-EPP-1-2017-1-EL-EPPKA2-KA). The European Commission’s support for the production of this publication does not constitute an endorsement of the contents, which reflects the views only of the authors, and the Commission will not be held responsible for any use which may be made of the information contained therein.

      More information about the project is available at www.learn2analyse.eu.